Place Attachment in a Resettled Population, Mozambique, 2015 (ICPSR 36533)

Version Date: Jan 20, 2017

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Principal Investigator(s):
Michael Strong, University of Maryland; Julie Silva, University of Maryland

https://doi.org/10.3886/ICPSR36533.v1

Version V1

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Summary

This project examined the role of place attachment in facilitating successful resettlement programs and identified barriers faced by resettled communities as they establish place attachment to the post-resettlement site. Respondents were asked about which items were needed for a better life and the importance of these items; items required for survival and happiness; and items needed for a better home. In addition, respondents were asked about the social environments in their post-resettlement site and former village; their material possessions in the post-resettlement site and former village; their household expenses in the post-resettlement site; and quality of life in their former village including availability of utilities, housing materials, and presence of disasters. Demographic variables include ethnic group, age, sex, language, education, occupation, and number of school-aged children in the household and their education.

Citation

Strong, Michael, and Silva, Julie. Place Attachment in a Resettled Population, Mozambique, 2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-01-20. https://doi.org/10.3886/ICPSR36533.v1

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Funding

National Science Foundation (BCS 1433978)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

Other

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2015-05 -- 2015-06

Date of Collection

2015-05 -- 2015-06

Data Collection Notes

  1. This project was funded by the National Science Foundation (BCS 1433978).

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Study Purpose

To learn how individuals make decisions to resettle and what influences those decisions, including characteristics that make a person more likely to resettlement.

Study Design

Data collection for the Place Attachment in a Resettled Population, Mozambique, 2015 survey occurred in a community that had experienced resettlement in the context of a government-supported economic development program. The research topic was investigated using a case study approach in Mozambique, a low income country that has prioritized economic growth through natural research extraction. Eighty-five heads-of-household were interviewed over two time periods regarding the resettlement process, and life in the pre- and post-settlement sites.

Sample

Cases were selected using convenience random sampling. An initial set of houses was identified randomly from the total housing structures in the case study site. When the selected household was unavailable to be interviewed, time constraints necessitated interviewing an adjacent household instead.

Time Method

Longitudinal

Universe

Resettled population in Mozambique

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

100 percent

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Original Release Date

2017-01-20

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Strong, Michael, and Julie Silva. Place Attachment in a Resettled Population, Mozambique, 2015. ICPSR36533-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-01-20. http://doi.org/10.3886/ICPSR36533.v1

2017-01-20 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Standardized missing values.
  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.
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Weight

The data are not weighted and no weight variables are present in the dataset.

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Notes